↓ Skip to main content

PLOS

HERVs Expression in Autism Spectrum Disorders

Overview of attention for article published in PLOS ONE, November 2012
Altmetric Badge

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
26 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
111 Mendeley
Title
HERVs Expression in Autism Spectrum Disorders
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048831
Pubmed ID
Authors

Emanuela Balestrieri, Carla Arpino, Claudia Matteucci, Roberta Sorrentino, Francesca Pica, Riccardo Alessandrelli, Antonella Coniglio, Paolo Curatolo, Giovanni Rezza, Fabio Macciardi, Enrico Garaci, Simona Gaudi, Paola Sinibaldi-Vallebona

Abstract

Autistic Spectrum Disorder (ASD) is a heterogeneous neurodevelopmental disorder, resulting from complex interactions among genetic, genomic and environmental factors. Here we have studied the expression of Human Endogenous Retroviruses (HERVs), non-coding DNA elements with potential regulatory functions, and have tested their possible implication in autism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Netherlands 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Researcher 17 15%
Student > Master 13 12%
Student > Doctoral Student 8 7%
Student > Bachelor 7 6%
Other 19 17%
Unknown 26 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 24%
Biochemistry, Genetics and Molecular Biology 16 14%
Psychology 15 14%
Medicine and Dentistry 11 10%
Computer Science 2 2%
Other 13 12%
Unknown 27 24%